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Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform

Ruben Verborgh (UGent) , Davy Van Deursen (UGent) , Erik Mannens (UGent) , Chris Poppe (UGent) and Rik Van de Walle (UGent)
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Abstract
Automatic generation of metadata, facilitating the retrieval of multimedia items, potentially saves large amounts of manual work. However, the high specialization degree of feature extraction algorithms makes them unaware of the context they operate in, which contains valuable and often necessary information. In this paper, we show how Semantic Web technologies can provide a context that algorithms can interact with. We propose a generic problem-solving platform that uses Web services and various knowledge sources to find solutions to complex requests. The platform employs a reasoner-based composition algorithm, generating an execution plan that combines several algorithms as services. It then supervises the execution of this plan, intervening in case of errors or unexpected behavior. We illustrate our approach by a use case in which we annotate the names of people depicted in a photograph.
Keywords
Annotation, WEB, Service composition, Metadata generation, Web services, Semantic Web

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Chicago
Verborgh, Ruben, Davy Van Deursen, Erik Mannens, Chris Poppe, and Rik Van de Walle. 2012. “Enabling Context-aware Multimedia Annotation by a Novel Generic Semantic Problem-solving Platform.” Multimedia Tools and Applications 61 (1): 105–129.
APA
Verborgh, R., Van Deursen, D., Mannens, E., Poppe, C., & Van de Walle, R. (2012). Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform. MULTIMEDIA TOOLS AND APPLICATIONS, 61(1), 105–129.
Vancouver
1.
Verborgh R, Van Deursen D, Mannens E, Poppe C, Van de Walle R. Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform. MULTIMEDIA TOOLS AND APPLICATIONS. 2012;61(1):105–29.
MLA
Verborgh, Ruben, Davy Van Deursen, Erik Mannens, et al. “Enabling Context-aware Multimedia Annotation by a Novel Generic Semantic Problem-solving Platform.” MULTIMEDIA TOOLS AND APPLICATIONS 61.1 (2012): 105–129. Print.
@article{2919396,
  abstract     = {Automatic generation of metadata, facilitating the retrieval of multimedia items, potentially saves large amounts of manual work. However, the high specialization degree of feature extraction algorithms makes them unaware of the context they operate in, which contains valuable and often necessary information. In this paper, we show how Semantic Web technologies can provide a context that algorithms can interact with. We propose a generic problem-solving platform that uses Web services and various knowledge sources to find solutions to complex requests. The platform employs a reasoner-based composition algorithm, generating an execution plan that combines several algorithms as services. It then supervises the execution of this plan, intervening in case of errors or unexpected behavior. We illustrate our approach by a use case in which we annotate the names of people depicted in a photograph.},
  author       = {Verborgh, Ruben and Van Deursen, Davy and Mannens, Erik and Poppe, Chris and Van de Walle, Rik},
  issn         = {1380-7501},
  journal      = {MULTIMEDIA TOOLS AND APPLICATIONS},
  language     = {eng},
  number       = {1},
  pages        = {105--129},
  title        = {Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform},
  url          = {http://dx.doi.org/10.1007/s11042-010-0709-6},
  volume       = {61},
  year         = {2012},
}

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